Update parquet files

README.md

@@ -1,213 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- expert-generated
-language:
-- en
-license:
-- unknown
-multilinguality:
-- monolingual
-pretty_name: QaZre
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-task_categories:
-- question-answering
-task_ids: []
-paperswithcode_id: null
-tags:
-- zero-shot-relation-extraction
-dataset_info:
-  features:
-  - name: relation
-    dtype: string
-  - name: question
-    dtype: string
-  - name: subject
-    dtype: string
-  - name: context
-    dtype: string
-  - name: answers
-    sequence: string
-  splits:
-  - name: test
-    num_bytes: 29410194
-    num_examples: 120000
-  - name: validation
-    num_bytes: 1481430
-    num_examples: 6000
-  - name: train
-    num_bytes: 2054954011
-    num_examples: 8400000
-  download_size: 516061636
-  dataset_size: 2085845635
----
-
-# Dataset Card for QaZre
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [http://nlp.cs.washington.edu/zeroshot](http://nlp.cs.washington.edu/zeroshot)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 492.15 MB
-- **Size of the generated dataset:** 1989.22 MB
-- **Total amount of disk used:** 2481.37 MB
-
-### Dataset Summary
-
-A dataset reducing relation extraction to simple reading comprehension questions
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### default
-
-- **Size of downloaded dataset files:** 492.15 MB
-- **Size of the generated dataset:** 1989.22 MB
-- **Total amount of disk used:** 2481.37 MB
-
-An example of 'validation' looks as follows.
-```
-{
-    "answers": [],
-    "context": "answer",
-    "question": "What is XXX in this question?",
-    "relation": "relation_name",
-    "subject": "Some entity Here is a bit of context which will explain the question in some way"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `relation`: a `string` feature.
-- `question`: a `string` feature.
-- `subject`: a `string` feature.
-- `context`: a `string` feature.
-- `answers`: a `list` of `string` features.
-
-### Data Splits
-
-| name    |   train | validation |   test |
-|---------|--------:|-----------:|-------:|
-| default | 8400000 |       6000 | 120000 |
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-Unknown.
-
-### Citation Information
-
-```
-@inproceedings{levy-etal-2017-zero,
-    title = "Zero-Shot Relation Extraction via Reading Comprehension",
-    author = "Levy, Omer  and
-      Seo, Minjoon  and
-      Choi, Eunsol  and
-      Zettlemoyer, Luke",
-    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
-    month = aug,
-    year = "2017",
-    address = "Vancouver, Canada",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/K17-1034",
-    doi = "10.18653/v1/K17-1034",
-    pages = "333--342",
-}
-
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@ghomasHudson](https://github.com/ghomasHudson), [@lewtun](https://github.com/lewtun) for adding this dataset.

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "A dataset reducing relation extraction to simple reading comprehension questions\n", "citation": "@inproceedings{levy-etal-2017-zero,\n    title = \"Zero-Shot Relation Extraction via Reading Comprehension\",\n    author = \"Levy, Omer  and\n      Seo, Minjoon  and\n      Choi, Eunsol  and\n      Zettlemoyer, Luke\",\n    booktitle = \"Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)\",\n    month = aug,\n    year = \"2017\",\n    address = \"Vancouver, Canada\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/K17-1034\",\n    doi = \"10.18653/v1/K17-1034\",\n    pages = \"333--342\",\n}\n", "homepage": "http://nlp.cs.washington.edu/zeroshot", "license": "", "features": {"relation": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "subject": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "qa_zre", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 29410194, "num_examples": 120000, "dataset_name": "qa_zre"}, "validation": {"name": "validation", "num_bytes": 1481430, "num_examples": 6000, "dataset_name": "qa_zre"}, "train": {"name": "train", "num_bytes": 2054954011, "num_examples": 8400000, "dataset_name": "qa_zre"}}, "download_checksums": {"http://nlp.cs.washington.edu/zeroshot/relation_splits.tar.bz2": {"num_bytes": 516061636, "checksum": "e33d0e367b6e837370da17a2d09d217e0a92f8d180f7abb3fd543a2d1726b2b4"}}, "download_size": 516061636, "dataset_size": 2085845635, "size_in_bytes": 2601907271}}

default/qa_zre-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a617e9bfc50aa0491dbf1f3719bff386694a2689befb86577bfcc564d9744906
+size 16279741

default/qa_zre-train-00000-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:716d956b028ef65ec9b8319b38d7700fb1043b8baaa8bdae064d7f3a958cf76c
+size 302841429

default/qa_zre-train-00001-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74d9d48c860fadb0b1d78e2bf6d7f96d4f4fdae674b528bc8630b53a5b74685b
+size 302820523

default/qa_zre-train-00002-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf9f2d3b559fcd70307a61ce842c3545bbdaea7a613709b1c82cc6b592da7a08
+size 303026926

default/qa_zre-train-00003-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65a8a29ad6c54de7e4a829207b1cf441a33134870662227b49bc1c1cdbee88c2
+size 303133431

default/qa_zre-train-00004-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ee9f7fc923134399bb9eaef58e30402800ce285f6a617fdf962bcc592fed0a3
+size 33288457

default/qa_zre-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52f12264e2a0ba864bbfcba67ea002abaa0858d8670c90d86d2e99c8384c1f2e
+size 833652

qa_zre.py

@@ -1,99 +0,0 @@
-"""A dataset reducing relation extraction to simple reading comprehension questions"""
-
-import csv
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{levy-etal-2017-zero,
-    title = "Zero-Shot Relation Extraction via Reading Comprehension",
-    author = "Levy, Omer  and
-      Seo, Minjoon  and
-      Choi, Eunsol  and
-      Zettlemoyer, Luke",
-    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
-    month = aug,
-    year = "2017",
-    address = "Vancouver, Canada",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/K17-1034",
-    doi = "10.18653/v1/K17-1034",
-    pages = "333--342",
-}
-"""
-
-_DESCRIPTION = """\
-A dataset reducing relation extraction to simple reading comprehension questions
-"""
-
-_DATA_URL = "http://nlp.cs.washington.edu/zeroshot/relation_splits.tar.bz2"
-
-
-class QaZre(datasets.GeneratorBasedBuilder):
-    """QA-ZRE: Reducing relation extraction to simple reading comprehension questions"""
-
-    VERSION = datasets.Version("0.1.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "relation": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "subject": datasets.Value("string"),
-                    "context": datasets.Value("string"),
-                    "answers": datasets.features.Sequence(datasets.Value("string")),
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="http://nlp.cs.washington.edu/zeroshot",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_dir = dl_manager.download_and_extract(_DATA_URL)
-        dl_dir = os.path.join(dl_dir, "relation_splits")
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepaths": [os.path.join(dl_dir, "test." + str(i)) for i in range(10)],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepaths": [os.path.join(dl_dir, "dev." + str(i)) for i in range(10)],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepaths": [os.path.join(dl_dir, "train." + str(i)) for i in range(10)],
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepaths):
-        """Yields examples."""
-
-        for file_idx, filepath in enumerate(filepaths):
-            with open(filepath, encoding="utf-8") as f:
-                data = csv.reader(f, delimiter="\t")
-                for idx, row in enumerate(data):
-                    yield f"{file_idx}_{idx}", {
-                        "relation": row[0],
-                        "question": row[1],
-                        "subject": row[2],
-                        "context": row[3],
-                        "answers": row[4:],
-                    }